Polynomial chaos expansion has received considerable attention in uncertainty
quantification since its great modeling capability for complex systems. However, considering …

Abstract Usually, Computational Fluid Dynamics (CFD) simulations are carried out under
deterministic conditions. However, there are actually many uncertain factors such as fluid …

Uncertainty quantification is essential in preventing inaccurate predictions of neural
networks. A vanilla neural network for regression does not intrinsically provide explicit …

The problem of evaluating the sensitivity of non-trivial boundary conditions to the onset of
azimuthal combustion instability is a longstanding challenge in the development process of …

A major source of input uncertainties in the simulation of turbulent spray combustion is
introduced by the need to specify the state of the liquid spray after primary breakup, ie a …

This work proposes an improvement to existing methods based on modal expansions used
for the prediction of thermoacoustic instabilities in zero Mach number flow conditions …

This paper presents a tunable combustor outlet geometry, which enables control of
thermoacoustic instabilities. It is based on a water-cooled conical piston inserted in the outlet …

Nonintrusive polynomial chaos expansion (NIPCE) is used to quantify the impact of
uncertainties in operating conditions on the flame transfer function (FTF) of a premixed …

The non-intrusive B-splines Bézier elements method (BSBEM) is used to perform uncertainty
propagation for complex dam break flow models. The predictive efficiency of the BSBEM is …

Thermoacoustic instabilities in combustion systems are influenced by the thermoacoustic
properties, such as the transfer function (TF) of the burner with flame. One promising …